The availability of data in the life sciences has increased dramatically in recent years. While the analysis of genomics data is just one example for this trend, modern computational biology has to face challenges in a large variety of contexts: in medicine, for instance, imaging and traditional lab technology, proteomics and other "omics" data play an increasingly important role for basic research and clinical practice. In particular, the integration of data that comes from different sources and platforms will be instrumental in cutting edge bio-medical research.

The analysis of large amounts of potentially very high-dimensional data in the life sciences requires the development of efficient computational and automated analysis tools. On the other hand, new approaches to the modelling of the underlying biological processes become necessary.

The aim of this workshop is to bring together active researchers from many of the involved areas and facilitate intense scientific exchange. This should lead to the identification of novel directions of research and potential novel collaborations.

The workshop features presentations by renowned invited speakers, which will serve as starting points for discussion. Participants are encouraged to come prepared with questions or project ideas and join the discussion groups. The outcome of the event should include novel project ideas, collaborations and joint grant applications.

This workshop specifically caters for interdisciplinary exchange and bio-medical researchers are highly encouraged to attend.